PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

published:26 Feb 2013

views:188538

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

published:07 Dec 2017

views:3599

DISCLAIMERS
All videos and commentary on this website are provided for educational purposes only and clients should not necessarily rely on the content or policies as they may differ with regards to the entity that you are trading with. Further, any opinions, analyses, prices, or other information contained in these videos or on this website is provided for educational purposes, and does not constitute investment advice or solicitations to trade. J Auto Trading Strategies, LLC ("JATS") will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
This website is neither a solicitation nor an offer to Buy/Sell futures or options. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.
RISK DISCLOSURE
Futures and forex trading have large potential rewards, but also contain substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones' financial security or life style. Don’t trade with money you can’t afford to lose. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading.
HYPOTHETICAL PERFORMANCE DISCLOSURE
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

published:18 Jun 2016

views:68

https://www.greenlighttestprep.com/ - You COULD pay more, but why would you?
Our comprehensive GRE course (500+ videos and 1400+ practice questions) costs only $99.
We wish you the very best in your GRE preparation!

Strategy

Strategy (from Greek στρατηγία stratēgia, "art of troop leader; office of general, command, generalship") is a high level plan to achieve one or more goals under conditions of uncertainty. In the sense of the "art of the general", which included several subsets of skills including "tactics", siegecraft, logistics etc., the term came into use in the 6th century C.E. in East Roman terminology, and was translated into Western vernacular languages only in the 18th century. From then until the 20th century, the word "strategy" came to denote "a comprehensive way to try to pursue political ends, including the threat or actual use of force, in a dialectic of wills" in a military conflict, in which both adversaries interact.

Strategy is important because the resources available to achieve these goals are usually limited. Strategy generally involves setting goals, determining actions to achieve the goals, and mobilizing resources to execute the actions. A strategy describes how the ends (goals) will be achieved by the means (resources). This is generally tasked with determining strategy. Strategy can be intended or can emerge as a pattern of activity as the organization adapts to its environment or competes. It involves activities such as strategic planning and strategic thinking.

Trading strategy

In finance, a trading strategy is a fixed plan that is designed to achieve a profitable return by going long or short in markets. The main reasons that a properly researched trading strategy helps are its verifiability, quantifiability, consistency, and objectivity. The development and application of a trading strategy follows eight steps: (1) Formulation, (2) Specification in computer-testable form, (3) Preliminary testing, (4) Optimization, (5) Evaluation of performance and robustness, (6) Trading of the strategy, (7) Monitoring of trading performance, (8) Refinement and evolution.

For every trading strategy one needs to define assets to trade, entry/exit points and money management rules. Bad money management can make a potentially profitable strategy unprofitable.

Trading strategies are based on fundamental or technical analysis, or engage them both. Technical strategies can be broadly divided into the mean-reversion and momentum groups. There are also specific strategies, like "Sell in May and go away but remember to get back in September". Trading strategies are usually verified by backtesting where the process should follow the scientific method.

Building a Quantitative Trading Strategy To Beat the S&P500 (Karen Rubin)

Building a Quantitative Trading Strategy To Beat the S&P500 (Karen Rubin)

Building a Quantitative Trading Strategy To Beat the S&P500 (Karen Rubin)

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

How to Build a Momentum Based Trading Strategy

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

1:04:29

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

3:52

It's Not Magic - It's a Quantitative Strategy

It's Not Magic - It's a Quantitative Strategy

It's Not Magic - It's a Quantitative Strategy

DISCLAIMERS
All videos and commentary on this website are provided for educational purposes only and clients should not necessarily rely on the content or policies as they may differ with regards to the entity that you are trading with. Further, any opinions, analyses, prices, or other information contained in these videos or on this website is provided for educational purposes, and does not constitute investment advice or solicitations to trade. J Auto Trading Strategies, LLC ("JATS") will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
This website is neither a solicitation nor an offer to Buy/Sell futures or options. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.
RISK DISCLOSURE
Futures and forex trading have large potential rewards, but also contain substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones' financial security or life style. Don’t trade with money you can’t afford to lose. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading.
HYPOTHETICAL PERFORMANCE DISCLOSURE
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

4:46

GRE Math - Quantitative Comparison - QC Strategy - Number Sense

GRE Math - Quantitative Comparison - QC Strategy - Number Sense

GRE Math - Quantitative Comparison - QC Strategy - Number Sense

https://www.greenlighttestprep.com/ - You COULD pay more, but why would you?
Our comprehensive GRE course (500+ videos and 1400+ practice questions) costs only $99.
We wish you the very best in your GRE preparation!

Workshop Topic: Quantitative Trading Strategy - QuantInsti

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'ExecutiveProgramme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy
#FinancialComputingToolsForR
#AlgorithmicTradingTechnology
#ExecutiveProgrammeinAlgorithmic"
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

Building a Quantitative Trading Strategy To Beat the S&P500 (Karen Rubin)

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

How to Build a Momentum Based Trading Strategy

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help pe...

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

published: 26 Feb 2013

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and...

published: 07 Dec 2017

It's Not Magic - It's a Quantitative Strategy

DISCLAIMERS
All videos and commentary on this website are provided for educational purposes only and clients should not necessarily rely on the content or policies as they may differ with regards to the entity that you are trading with. Further, any opinions, analyses, prices, or other information contained in these videos or on this website is provided for educational purposes, and does not constitute investment advice or solicitations to trade. J Auto Trading Strategies, LLC ("JATS") will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
This website is neither a solicitation nor an offer to Buy/Sell futures or options. No representation is being made tha...

published: 18 Jun 2016

GRE Math - Quantitative Comparison - QC Strategy - Number Sense

https://www.greenlighttestprep.com/ - You COULD pay more, but why would you?
Our comprehensive GRE course (500+ videos and 1400+ practice questions) costs only $99.
We wish you the very best in your GRE preparation!

Workshop Topic: Quantitative Trading Strategy - QuantInsti

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapi...

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantIns...

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

How to Build a Momentum Based Trading Strategy

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stock...

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have...

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

published:26 Feb 2013

views:188538

back

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into ...

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

It's Not Magic - It's a Quantitative Strategy

DISCLAIMERS
All videos and commentary on this website are provided for educational purposes only and clients should not necessarily rely on the content or poli...

DISCLAIMERS
All videos and commentary on this website are provided for educational purposes only and clients should not necessarily rely on the content or policies as they may differ with regards to the entity that you are trading with. Further, any opinions, analyses, prices, or other information contained in these videos or on this website is provided for educational purposes, and does not constitute investment advice or solicitations to trade. J Auto Trading Strategies, LLC ("JATS") will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
This website is neither a solicitation nor an offer to Buy/Sell futures or options. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.
RISK DISCLOSURE
Futures and forex trading have large potential rewards, but also contain substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones' financial security or life style. Don’t trade with money you can’t afford to lose. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading.
HYPOTHETICAL PERFORMANCE DISCLOSURE
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

DISCLAIMERS
All videos and commentary on this website are provided for educational purposes only and clients should not necessarily rely on the content or policies as they may differ with regards to the entity that you are trading with. Further, any opinions, analyses, prices, or other information contained in these videos or on this website is provided for educational purposes, and does not constitute investment advice or solicitations to trade. J Auto Trading Strategies, LLC ("JATS") will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
This website is neither a solicitation nor an offer to Buy/Sell futures or options. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.
RISK DISCLOSURE
Futures and forex trading have large potential rewards, but also contain substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones' financial security or life style. Don’t trade with money you can’t afford to lose. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading.
HYPOTHETICAL PERFORMANCE DISCLOSURE
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

https://www.greenlighttestprep.com/ - You COULD pay more, but why would you?
Our comprehensive GRE course (500+ videos and 1400+ practice questions) costs only $99.
We wish you the very best in your GRE preparation!

https://www.greenlighttestprep.com/ - You COULD pay more, but why would you?
Our comprehensive GRE course (500+ videos and 1400+ practice questions) costs only $99.
We wish you the very best in your GRE preparation!

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'ExecutiveProgramme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy
#FinancialComputingToolsForR
#AlgorithmicTradingTechnology
#ExecutiveProgrammeinAlgorithmic"
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'ExecutiveProgramme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy
#FinancialComputingToolsForR
#AlgorithmicTradingTechnology
#ExecutiveProgrammeinAlgorithmic"
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

Building a Quantitative Trading Strategy To Beat the S&P500 (Karen Rubin)

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

How to Build a Momentum Based Trading Strategy

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help pe...

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

published: 26 Feb 2013

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and...

published: 07 Dec 2017

Workshop Topic: Quantitative Trading Strategy - QuantInsti

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapi...

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantIns...

published: 12 Jul 2017

Machine Learning for Quantitative Trading Webinar with Dr. Ernie Chan

Quantitative trading and algorithmic trading expert Dr. Ernie Chan teaches you machine learning in quantitative finance. You will learn:
1) The pros and cons of applying machine learning to trading and investing.
2) What are the best types of data for ML algorithms?
3) What are the ML algorithms most useful to traders and investors?
4) Can the machine really replace humans in trading?

published: 28 Mar 2017

Quantitative Discipline for Portfolio Managers and Analysts

After developing AFG's multi-factor approach to quantitative research, I created this presentation to share at our annual conference to help our non-quantitatively focused clients better understand how to implement this data into their research process as either a quantitative buy/hold/sell signal or a screening metric to narrow the focus of a qualitative modeling process. Ultimately, I wanted to encourage our clients to determine which trade-offs between alpha-generation and turnover, as well as quantitative and qualitative research, where most appropriate for an individual research strategy.

Speaker: Karen Rubin
Two years ago, Karen embarked on a project to learn how to research, write and trade algorithms to invest in the market. She re-learned python and explored what would happen if you invested in women-led companies over a 12-year period. In this talk, she will walk through the highs and lows of her journey from initial data gathering, through writing a strategy to validation and trading.
Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016-slides

published: 30 May 2016

Introduction to Quantitative Trading - Lecture 1/8

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trader usually starts with an intuition or a vague trading idea. Using mathematics, s/he turns the intuition into a mathematical trading model for analysis, back testing and refinement. When the quantitative investment model proves to be likely profitable after passing rigorous statistical tests, the portfolio manager implements the model on a computer system for automatic execution. In short, quantitative trading is the process where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is a science where mathematics and computer science meet. In this course, students study investmen...

published: 01 Oct 2013

Princeton Review : How to Conquer Hard Math

Join us for the session on Hard 700+ level GMAT PS and DS questions and strategies to master the Quant section. This session will include:
What is Hard Math?
BestApproach to studying math.
Specialized techniques for Hard Math.
Special Offer for attendees.

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

How to Build a Momentum Based Trading Strategy

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stock...

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have...

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

published:26 Feb 2013

views:188538

back

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into ...

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'ExecutiveProgramme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy
#FinancialComputingToolsForR
#AlgorithmicTradingTechnology
#ExecutiveProgrammeinAlgorithmic"
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'ExecutiveProgramme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy
#FinancialComputingToolsForR
#AlgorithmicTradingTechnology
#ExecutiveProgrammeinAlgorithmic"
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

Quantitative trading and algorithmic trading expert Dr. Ernie Chan teaches you machine learning in quantitative finance. You will learn:
1) The pros and cons of applying machine learning to trading and investing.
2) What are the best types of data for ML algorithms?
3) What are the ML algorithms most useful to traders and investors?
4) Can the machine really replace humans in trading?

Quantitative trading and algorithmic trading expert Dr. Ernie Chan teaches you machine learning in quantitative finance. You will learn:
1) The pros and cons of applying machine learning to trading and investing.
2) What are the best types of data for ML algorithms?
3) What are the ML algorithms most useful to traders and investors?
4) Can the machine really replace humans in trading?

Quantitative Discipline for Portfolio Managers and Analysts

After developing AFG's multi-factor approach to quantitative research, I created this presentation to share at our annual conference to help our non-quantitativ...

After developing AFG's multi-factor approach to quantitative research, I created this presentation to share at our annual conference to help our non-quantitatively focused clients better understand how to implement this data into their research process as either a quantitative buy/hold/sell signal or a screening metric to narrow the focus of a qualitative modeling process. Ultimately, I wanted to encourage our clients to determine which trade-offs between alpha-generation and turnover, as well as quantitative and qualitative research, where most appropriate for an individual research strategy.

After developing AFG's multi-factor approach to quantitative research, I created this presentation to share at our annual conference to help our non-quantitatively focused clients better understand how to implement this data into their research process as either a quantitative buy/hold/sell signal or a screening metric to narrow the focus of a qualitative modeling process. Ultimately, I wanted to encourage our clients to determine which trade-offs between alpha-generation and turnover, as well as quantitative and qualitative research, where most appropriate for an individual research strategy.

How to start your own Quantitative desk - Challenges, Opportunities and Potential.
Introduction:
With the financial markets in emerging markets rapidly evolving like developed markets; a disruptive change in the emerging markets’ landscape is foreseen, wherein exchange volumes to the tune of 70% and above will be generated by Algorithmic Trading. QuantInsti aims to fulfill the pressing demands for highly specialized skill sets of this lucrative domain.
Key Takeaways:
Key challenges in starting and managing your own trading business.
Growth opportunities and trends in the quantitative trading industry.
Know Your Trainer:
Rajib Ranjan Borah -
RAJIB is the co-Founder & Director of iRageCapital Advisory Pvt Ltd, & QuantInsti Quantitative Learning Pvt Ltd. At iRage, he heads the firm’s derivatives, particularly options trading strategies domain. At QI, Rajib heads the course segment on option derivatives; and also works with exchanges, financial & educational institutions to design educational programs. He has parcipated as well as conducted many trading workshops and conferences across North America, Europe and Asia.
Prior to iRage, Rajib worked with leading HFT firm Optiver in Amsterdam; working on options derivatives market making, and high frequency equity arbitrage strategies across all major European and US exchanges. A national Olympiad finalist, Rajib has twice represented India at the World Puzzle Championships. He has a post-graduate management degree from IIM- Calcutta, a bachelor’s degree in Computer Engineering from NIT-Surathkal.
Gaurav Raizada -
Gaurav is a Director at iRageCapital Advisory PrivateLtd., leads the firm's advisory practice in India on the Systems, Performance and Strategies. He has consulted extensively with core focus on strategy development and execution including trading systems development, latency reduction, optimization and transaction cost analysis.
An area of specific focus for Gaurav has been working with clients in high frequency trading-proprietary desk, brokerages, and banks. His current areas of research are High Frequency Econometrics, Structured Products and Transaction Cost Analysis.
Prior to iRageCapital, Gaurav worked with AxisBank as a Forex-Interest Rates Derivatives Trader. He also worked as a Performance Engineer at Veritas Software, where he picked up the feel for Optimization.
Gaurav has a post graduate degree in management from Indian Institute of Management, Lucknow and a B.Tech. in Chemical Engineering from Indian Institute of Technology, Kanpur.
Website: www.quantinsti.com
Facebook: http://facebook.com/quantinsti
Twitter: http://twitter.com/quantinsti
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

How to start your own Quantitative desk - Challenges, Opportunities and Potential.
Introduction:
With the financial markets in emerging markets rapidly evolving like developed markets; a disruptive change in the emerging markets’ landscape is foreseen, wherein exchange volumes to the tune of 70% and above will be generated by Algorithmic Trading. QuantInsti aims to fulfill the pressing demands for highly specialized skill sets of this lucrative domain.
Key Takeaways:
Key challenges in starting and managing your own trading business.
Growth opportunities and trends in the quantitative trading industry.
Know Your Trainer:
Rajib Ranjan Borah -
RAJIB is the co-Founder & Director of iRageCapital Advisory Pvt Ltd, & QuantInsti Quantitative Learning Pvt Ltd. At iRage, he heads the firm’s derivatives, particularly options trading strategies domain. At QI, Rajib heads the course segment on option derivatives; and also works with exchanges, financial & educational institutions to design educational programs. He has parcipated as well as conducted many trading workshops and conferences across North America, Europe and Asia.
Prior to iRage, Rajib worked with leading HFT firm Optiver in Amsterdam; working on options derivatives market making, and high frequency equity arbitrage strategies across all major European and US exchanges. A national Olympiad finalist, Rajib has twice represented India at the World Puzzle Championships. He has a post-graduate management degree from IIM- Calcutta, a bachelor’s degree in Computer Engineering from NIT-Surathkal.
Gaurav Raizada -
Gaurav is a Director at iRageCapital Advisory PrivateLtd., leads the firm's advisory practice in India on the Systems, Performance and Strategies. He has consulted extensively with core focus on strategy development and execution including trading systems development, latency reduction, optimization and transaction cost analysis.
An area of specific focus for Gaurav has been working with clients in high frequency trading-proprietary desk, brokerages, and banks. His current areas of research are High Frequency Econometrics, Structured Products and Transaction Cost Analysis.
Prior to iRageCapital, Gaurav worked with AxisBank as a Forex-Interest Rates Derivatives Trader. He also worked as a Performance Engineer at Veritas Software, where he picked up the feel for Optimization.
Gaurav has a post graduate degree in management from Indian Institute of Management, Lucknow and a B.Tech. in Chemical Engineering from Indian Institute of Technology, Kanpur.
Website: www.quantinsti.com
Facebook: http://facebook.com/quantinsti
Twitter: http://twitter.com/quantinsti
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Speaker: Karen Rubin
Two years ago, Karen embarked on a project to learn how to research, write and trade algorithms to invest in the market. She re-learned py...

Speaker: Karen Rubin
Two years ago, Karen embarked on a project to learn how to research, write and trade algorithms to invest in the market. She re-learned python and explored what would happen if you invested in women-led companies over a 12-year period. In this talk, she will walk through the highs and lows of her journey from initial data gathering, through writing a strategy to validation and trading.
Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016-slides

Speaker: Karen Rubin
Two years ago, Karen embarked on a project to learn how to research, write and trade algorithms to invest in the market. She re-learned python and explored what would happen if you invested in women-led companies over a 12-year period. In this talk, she will walk through the highs and lows of her journey from initial data gathering, through writing a strategy to validation and trading.
Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016-slides

Introduction to Quantitative Trading - Lecture 1/8

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trad...

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trader usually starts with an intuition or a vague trading idea. Using mathematics, s/he turns the intuition into a mathematical trading model for analysis, back testing and refinement. When the quantitative investment model proves to be likely profitable after passing rigorous statistical tests, the portfolio manager implements the model on a computer system for automatic execution. In short, quantitative trading is the process where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is a science where mathematics and computer science meet. In this course, students study investment strategies from the popular academic literature and learn the fundamental mathematics and IT aspects of this emerging field. After satisfactorily completing this course, the students will have an overview of the necessary quantitative, computing, and programming skills in quantitative trading.

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trader usually starts with an intuition or a vague trading idea. Using mathematics, s/he turns the intuition into a mathematical trading model for analysis, back testing and refinement. When the quantitative investment model proves to be likely profitable after passing rigorous statistical tests, the portfolio manager implements the model on a computer system for automatic execution. In short, quantitative trading is the process where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is a science where mathematics and computer science meet. In this course, students study investment strategies from the popular academic literature and learn the fundamental mathematics and IT aspects of this emerging field. After satisfactorily completing this course, the students will have an overview of the necessary quantitative, computing, and programming skills in quantitative trading.

Princeton Review : How to Conquer Hard Math

Join us for the session on Hard 700+ level GMAT PS and DS questions and strategies to master the Quant section. This session will include:
What is Hard Math?
B...

Join us for the session on Hard 700+ level GMAT PS and DS questions and strategies to master the Quant section. This session will include:
What is Hard Math?
BestApproach to studying math.
Specialized techniques for Hard Math.
Special Offer for attendees.

Join us for the session on Hard 700+ level GMAT PS and DS questions and strategies to master the Quant section. This session will include:
What is Hard Math?
BestApproach to studying math.
Specialized techniques for Hard Math.
Special Offer for attendees.

Building a Quantitative Trading Strategy To Beat the S&P500 (Karen Rubin)

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

1:00:39

How quant trading strategies are developed and tested w/ Ernie Chan

EP 052: How quantitative trading strategies are created, scrutinized and introduced to the...

How to Build a Momentum Based Trading Strategy

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

1:04:29

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerou...

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

3:52

It's Not Magic - It's a Quantitative Strategy

DISCLAIMERS
All videos and commentary on this website are provided for educational purpos...

It's Not Magic - It's a Quantitative Strategy

DISCLAIMERS
All videos and commentary on this website are provided for educational purposes only and clients should not necessarily rely on the content or policies as they may differ with regards to the entity that you are trading with. Further, any opinions, analyses, prices, or other information contained in these videos or on this website is provided for educational purposes, and does not constitute investment advice or solicitations to trade. J Auto Trading Strategies, LLC ("JATS") will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
This website is neither a solicitation nor an offer to Buy/Sell futures or options. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.
RISK DISCLOSURE
Futures and forex trading have large potential rewards, but also contain substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones' financial security or life style. Don’t trade with money you can’t afford to lose. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading.
HYPOTHETICAL PERFORMANCE DISCLOSURE
Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

4:46

GRE Math - Quantitative Comparison - QC Strategy - Number Sense

https://www.greenlighttestprep.com/ - You COULD pay more, but why would you?
Our comprehen...

GRE Math - Quantitative Comparison - QC Strategy - Number Sense

https://www.greenlighttestprep.com/ - You COULD pay more, but why would you?
Our comprehensive GRE course (500+ videos and 1400+ practice questions) costs only $99.
We wish you the very best in your GRE preparation!

Workshop Topic: Quantitative Trading Strategy - QuantInsti

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'ExecutiveProgramme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy
#FinancialComputingToolsForR
#AlgorithmicTradingTechnology
#ExecutiveProgrammeinAlgorithmic"
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

Building a Quantitative Trading Strategy To Beat the S&P500 (Karen Rubin)

PyCon Canada2015: https://2015.pycon.ca/en/schedule/67/
TalkDescription:
Upon joining Quantopian, in order to understand her users better, Karen Rubin embarked on a project to learn how quants research, write and trade algorithms to invest in the market. Over the course of a year, she has explored what would happen if you invested in women-led companies and learned about the challenges of writing profitable investment strategies.
In this talk, she will walk us through the highs and lows of her journey from initial data gathering and cleansing to strategy validation and trading.

1:00:39

How quant trading strategies are developed and tested w/ Ernie Chan

EP 052: How quantitative trading strategies are created, scrutinized and introduced to the...

How to Build a Momentum Based Trading Strategy

Momentum trading is one of the first things that many people think of when approaching quantitative finance. The idea is that investors will prefer to buy stocks that have been performing well, driving prices still higher, and will shy away from stocks with recent price drops, leading to less demand and further price decay. It is an intuitive way of modeling asset prices, and works in some cases.
In this lecture we will discuss how to determine if a momentum model is appropriate for a given case, and ways to use that model to execute trades.
This talk is part of Quantopian’s Lecture Series. All lecture materials can be found at: https://www.quantopian.com/lectures.
To learn more about Quantopian, visit us at: https://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Basics of Quantitative Trading

http://www.onestepremoved.com/ Shaun Overton speaks to the meetup group Dallas Algorithmic Traders about quantitative trading. Most members of the audience have some kind of programming background. The discussion covers the steps necessary to build a quantitative trading strategy in popular trading platforms like NinjaTrader, TradeStation and MetaTrader to save development time. http://youtu.be/06mHrkSsG38

1:04:29

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerou...

Idea to Algorithm: The Full Workflow Behind Developing a Quantitative Trading Strategy

The process of strategy development is that of turning ideas into money. There are numerous steps in between, many of which are unknown to people entering into the space. We talk about the common workflows for turning ideas into models, evaluating models, constructing risk constrained portfolios, and executing profitable trades. We also talk about some of the common failure modes in each, and what to be aware of to help avoid them. Among the free and open source tools we'll discuss are alphalens, the Quantopian risk model, and pyfolio. To learn more, visit http://www.quantopian.com.
Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice.
More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian.
In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

1:16:31

Workshop Topic: Quantitative Trading Strategy - QuantInsti

This video is a recording of the Online Workshop on Quantitative Trading Strategy conducte...

Workshop Topic: Quantitative Trading Strategy - QuantInsti

This video is a recording of the OnlineWorkshop on Quantitative Trading Strategy conducted by QuantInsti on 1st June, 2013. In this video the Mr. Nitesh Khandelwal, faculty from QuantInsti teaches you to write a new quantitative trading strategy. Watch the video to:
· Learn to model a strategy
· Get exposed to various Financial Computing tools including R
· Learn to back-test and optimize your strategy
· Deploy the strategy on an open-sourced advanced trading platform
Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore.
QuantInsti's (http://www.quantinsti.com) flagship offering is the 'ExecutiveProgramme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class.
You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 for any queries you might have. "#QuantitativeTradingStrategy
#FinancialComputingToolsForR
#AlgorithmicTradingTechnology
#ExecutiveProgrammeinAlgorithmic"
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Tuesday, 11th July 2017
7:00 PM IST | 9:30 AM EST | 9:30 PM SGTThere exist thousands of academic research papers written on trading strategies. Learn what these academics found out and how we can use their knowledge in the trading world.
The webinar covers:
- Overview of research in a field of quantitative trading
- Taxonomy of quantitative trading strategies
- Where to look for unique alpha
- Examples of lesser-known trading strategies
- Common issues in quant research
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links
Join EPAT – ExecutiveProgramme in Algorithmic Trading: https://goo.gl/3Oyf2B
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on Twitter: https://twitter.com/QuantInsti

Machine Learning for Quantitative Trading Webinar with Dr. Ernie Chan

Quantitative trading and algorithmic trading expert Dr. Ernie Chan teaches you machine learning in quantitative finance. You will learn:
1) The pros and cons of applying machine learning to trading and investing.
2) What are the best types of data for ML algorithms?
3) What are the ML algorithms most useful to traders and investors?
4) Can the machine really replace humans in trading?

1:14:53

Quantitative Discipline for Portfolio Managers and Analysts

After developing AFG's multi-factor approach to quantitative research, I created this pres...

Quantitative Discipline for Portfolio Managers and Analysts

After developing AFG's multi-factor approach to quantitative research, I created this presentation to share at our annual conference to help our non-quantitatively focused clients better understand how to implement this data into their research process as either a quantitative buy/hold/sell signal or a screening metric to narrow the focus of a qualitative modeling process. Ultimately, I wanted to encourage our clients to determine which trade-offs between alpha-generation and turnover, as well as quantitative and qualitative research, where most appropriate for an individual research strategy.

How to start your own Quantitative desk - Challenges, Opportunities and Potential.
Introduction:
With the financial markets in emerging markets rapidly evolving like developed markets; a disruptive change in the emerging markets’ landscape is foreseen, wherein exchange volumes to the tune of 70% and above will be generated by Algorithmic Trading. QuantInsti aims to fulfill the pressing demands for highly specialized skill sets of this lucrative domain.
Key Takeaways:
Key challenges in starting and managing your own trading business.
Growth opportunities and trends in the quantitative trading industry.
Know Your Trainer:
Rajib Ranjan Borah -
RAJIB is the co-Founder & Director of iRageCapital Advisory Pvt Ltd, & QuantInsti Quantitative Learning Pvt Ltd. At iRage, he heads the firm’s derivatives, particularly options trading strategies domain. At QI, Rajib heads the course segment on option derivatives; and also works with exchanges, financial & educational institutions to design educational programs. He has parcipated as well as conducted many trading workshops and conferences across North America, Europe and Asia.
Prior to iRage, Rajib worked with leading HFT firm Optiver in Amsterdam; working on options derivatives market making, and high frequency equity arbitrage strategies across all major European and US exchanges. A national Olympiad finalist, Rajib has twice represented India at the World Puzzle Championships. He has a post-graduate management degree from IIM- Calcutta, a bachelor’s degree in Computer Engineering from NIT-Surathkal.
Gaurav Raizada -
Gaurav is a Director at iRageCapital Advisory PrivateLtd., leads the firm's advisory practice in India on the Systems, Performance and Strategies. He has consulted extensively with core focus on strategy development and execution including trading systems development, latency reduction, optimization and transaction cost analysis.
An area of specific focus for Gaurav has been working with clients in high frequency trading-proprietary desk, brokerages, and banks. His current areas of research are High Frequency Econometrics, Structured Products and Transaction Cost Analysis.
Prior to iRageCapital, Gaurav worked with AxisBank as a Forex-Interest Rates Derivatives Trader. He also worked as a Performance Engineer at Veritas Software, where he picked up the feel for Optimization.
Gaurav has a post graduate degree in management from Indian Institute of Management, Lucknow and a B.Tech. in Chemical Engineering from Indian Institute of Technology, Kanpur.
Website: www.quantinsti.com
Facebook: http://facebook.com/quantinsti
Twitter: http://twitter.com/quantinsti
QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/
Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/

Speaker: Karen Rubin
Two years ago, Karen embarked on a project to learn how to research, write and trade algorithms to invest in the market. She re-learned python and explored what would happen if you invested in women-led companies over a 12-year period. In this talk, she will walk through the highs and lows of her journey from initial data gathering, through writing a strategy to validation and trading.
Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016-slides

Introduction to Quantitative Trading - Lecture 1/8

http://en.cqi.sg/introduction-to-quantitative-investment-201310/
This course introduces students to quantitative trading. A "quant" portfolio manager or a trader usually starts with an intuition or a vague trading idea. Using mathematics, s/he turns the intuition into a mathematical trading model for analysis, back testing and refinement. When the quantitative investment model proves to be likely profitable after passing rigorous statistical tests, the portfolio manager implements the model on a computer system for automatic execution. In short, quantitative trading is the process where ideas are turned into mathematical models and then coded into computer programs for systematic trading. It is a science where mathematics and computer science meet. In this course, students study investment strategies from the popular academic literature and learn the fundamental mathematics and IT aspects of this emerging field. After satisfactorily completing this course, the students will have an overview of the necessary quantitative, computing, and programming skills in quantitative trading.

1:17:41

Princeton Review : How to Conquer Hard Math

Join us for the session on Hard 700+ level GMAT PS and DS questions and strategies to mast...

Princeton Review : How to Conquer Hard Math

Join us for the session on Hard 700+ level GMAT PS and DS questions and strategies to master the Quant section. This session will include:
What is Hard Math?
BestApproach to studying math.
Specialized techniques for Hard Math.
Special Offer for attendees.

Building a Quantitative Trading Strategy To Beat t...

How quant trading strategies are developed and tes...

How to Build a Momentum Based Trading Strategy...

Billionaire Cliff Asness: Quantitative Investment ...

Basics of Quantitative Trading...

Idea to Algorithm: The Full Workflow Behind Develo...

Workshop Topic: Quantitative Trading Strategy - Qu...

Classification of Quantitative Trading Strategies ...

Machine Learning for Quantitative Trading Webinar ...

Quantitative Discipline for Portfolio Managers and...

How to start your own Quantitative Trading desk - ...

Karen Rubin - Building a Quantitative Trading Stra...

Introduction to Quantitative Trading - Lecture 1/8...

Princeton Review : How to Conquer Hard Math...

It turns out that a theory explaining how we might detect parallel universes and prediction for the end of the world was proposed and completed by physicist Stephen Hawking shortly before he died ... &nbsp;. According to reports, the work predicts that the universe would eventually end when stars run out of energy ... ....

Article by WN.Com Correspondent Dallas DarlingIt wasn’t very long ago Republicans were accusing Democrats of either paying a few dollars to the homeless for votes or giving them a pack of cigarettes. But with Donald Trump, it’s obvious he paid $130,000 to an adult-film star in exchange for her silence last October and just before the general election ... Was the payment from his own account – or from a lawyer – or from campaign donations....

Using e-cigarettes may lead to an accumulation of fat in the liver, a study of mice exposed to the devices suggests. “The popularity of electronic cigarettes has been rapidly increasing in part because of advertisements that they are safer than conventional cigarettes ... Friedman of Charles R. Drew University of Medicine and Science in Los Angeles, California ... Circadian rhythm dysfunction is known to accelerate liver disease....

search tools

You can search using any combination of the items listed below.

After almost 10 years of Quantitative Easing to help banks, nothing has been achieved. Because of the Quantitative Easing, Europe has become very aggressive in collecting taxes ... The Quantitative Easing has simply kept governments on life-support while failing to stimulate the economy ... ....

This round also reinforces the company’s aggressive roadmap for their solution, helping B2C marketers further reinvent their campaign strategies and optimize their marketing agendas to deliver intelligent marketing campaigns ... explains David Bessis, founder and CEO of Tinyclues ... Eventually, AI will enable marketers to simply focus on strategy and business goals, without worrying about quantitative micro-decisions.” ... About Tinyclues....

By Stanley White. TOKYO, March 19 (Reuters) - Japan's central bank policymakers said it needs to stick with quantitative easing with inflation still well below its 2 percent price target, a summary of opinions of board members at the last rate review showed on Monday ... At the March policy meeting, the BOJ kept monetary settings unchanged and its chief brushed aside speculation of an early exit from quantitative easing. ... monetary policy ... ....

Reuters TOKYO (Reuters) — Japan’s central bank policymakers said it needs to stick with quantitative easing with inflation still well below its 2 percent price target, a summary of opinions of board members at the last rate review showed on Monday ... At the March policy meeting, the BOJ kept monetary settings unchanged and its chief brushed aside speculation of an early exit from quantitative easing. ... monetary policy ... Click to play ... + - ... ....

Wall Street trading firm Jane StreetCapital, which trades approximately $5.6 trillion USD across its 56,000 products annually, is now eyeing off bitcoin. As reported on Business Insider, the company recently included bitcoin in its list of asset classes. Jane Street Capital is a major global player in quantitative trading, with a focus on technology ViewArticle. Inside Bitcoins ... ....

LONDON, March 19- The euro jumped and bond yields in the currency bloc rose on Monday after a source-based story from Reuters that ECB policymakers are shifting their debate from quantitative easing to the expected path of interest rates. "For me, the bond market move is driven by the ECB language so there is a significant move in rates," said Rabobank rates... ....

Expansion of aptamer based products portfolio through improving existing drugs and developing new drug molecules is one of the key strategy adopted by many key players, recent developing drugs such as NOX-E36 for treating type 2 diabetes by NAXXON Pharma and other key players reflect these strategies... The company's exclusive blend of quantitative ......

Scotland’s transport agency has devised a new strategy for investing in rail improvements after recent key projects were affected by rising costs and delays. The Rail Enhancements and Capital InvestmentStrategy sets out how funding will be targeted across the Scottish rail network over the next decade....

, which won two Oscars earlier this month, was the first film greenlight by Film4’s 2016&nbsp;strategy to invest in bigger films with an additional £10m of funding per year, bringing its yearly budget to £25m. The strategy was spearheaded by former chief executive David Abraham and former director of Film4 DavidKosse....

The city of Henderson launched its Smart Citystrategy earlier this month to complete its technological vision over the next three years ...Within that framework, the strategy identifies five focus areas ... The city hired research firm Gartner and came up with more than 20 different projects to implement smart city strategies ... For more information, visit www.cityofhenderson.com/information-technology/smart-city-strategy ... ....

By. MollyJane Zuckerman ... Lee notes in the report that the current figure for the cost of mining one bitcoin is $8,038, while BTC is trading at around $8,221 by press time, down a quarter of a percent over a 24 hour period, according to data from CoinMarketCap ... The head of quantitative data science at Fundstrat, Sam Doctor, said that the cost of replacing equipment takes up more than half of the overall cost of mining ... 23 of last year ... ....